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Persistent Organic Pollutants and Early Menopause in U.S. Women

  • Natalia M. Grindler,

    Affiliations Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Colorado Denver, Aurora, Colorado, United States of America, Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Washington University in St. Louis, Barnes-Jewish Hospital, St. Louis, Missouri, United States of America

  • Jenifer E. Allsworth,

    Affiliation Department of Biomedical and Health Informatics, University of Missouri—Kansas City School of Medicine, Kansas City, Missouri, United States of America

  • George A. Macones,

    Affiliation Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Washington University in St. Louis, Barnes-Jewish Hospital, St. Louis, Missouri, United States of America

  • Kurunthachalam Kannan,

    Affiliation Wadsworth Center, New York State Department of Health and Department of Environmental Health Sciences, State University of New York at Albany, Albany, New York, United States of America

  • Kimberly A. Roehl,

    Affiliation Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Washington University in St. Louis, Barnes-Jewish Hospital, St. Louis, Missouri, United States of America

  • Amber R. Cooper

    coopera@wudosis.wustl.edu

    Affiliation Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Washington University in St. Louis, Barnes-Jewish Hospital, St. Louis, Missouri, United States of America

Abstract

Objective

Endocrine-disrupting chemicals (EDCs) adversely affect human health. Our objective was to determine the association of EDC exposure with earlier age of menopause.

Methods

Cross-sectional survey using National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2008 (n = 31,575 females). Eligible participants included: menopausal women >30 years of age; not currently pregnant, breastfeeding, using hormonal contraception; no history of bilateral oophorectomy or hysterectomy. Exposures, defined by serum lipid and urine creatinine-adjusted measures of EDCs, data were analyzed: > 90th percentile of the EDC distribution among all women, log-transformed EDC level, and decile of EDC level. Multi linear regression models considered complex survey design characteristics and adjusted for age, race/ethnicity, smoking, body mass index. EDCs were stratified into long (>1 year), short, and unknown half-lives; principle analyses were performed on those with long half-lives as well as phthalates, known reproductive toxicants. Secondary analysis determined whether the odds of being menopausal increased with EDC exposure among women aged 45–55 years.

Findings

This analysis examined 111 EDCs and focused on known reproductive toxicants or chemicals with half-lives >1 year. Women with high levels of β-hexachlorocyclohexane, mirex, p,p’-DDE, 1,2,3,4,6,7,8-heptachlorodibenzofuran, mono-(2-ethyl-5-hydroxyhexyl) and mono-(2-ethyl-5-oxohexyl) phthalate, polychlorinated biphenyl congeners −70, −99, −105, −118, −138, −153, −156, −170, and −183 had mean ages of menopause 1.9 to 3.8 years earlier than women with lower levels of these chemicals. EDC-exposed women were up to 6 times more likely to be menopausal than non-exposed women.

Conclusions

This study of a representative sample of US women documents an association between EDCs and earlier age at menopause. We identified 15 EDCs that warrant closer evaluation because of their persistence and potential detrimental effects on ovarian function. Earlier menopause can alter the quantity and quality of a woman’s life and has profound implications for fertility, human reproduction, and our global society.

Introduction

Industrialization has led to the production of thousands of chemicals used in the manufacturing of pharmaceuticals, personal care products, and other common household items. Although the persistence and bioaccumulation of certain chemicals have led to concerns about health consequences, data on potential toxic effects remain scarce. Understanding the health effects of common chemical exposures is challenging as exposures may vary by geographic, demographic, and socioeconomic factors, be expensive to measure, be correlated with other chemicals, and result in modest changes in health risk.

Endocrine-disrupting chemicals (EDCs), chemicals or combinations of chemicals that interfere with any aspect of in vivo hormonal action, are of particular concern.[1,2] EDC exposure has been linked to increased incidence of certain cancers, metabolic syndrome [3] and cardiovascular disease.[1,2] Moreover, exposure to these compounds has been linked to reduced sperm quality, earlier age of puberty, declines in fecundity, and increased rates of pregnancy complications.[1,4] However, whether there is a relationship between EDC exposure and age at menopause has not been explored on a large scale. If EDCs are associated with earlier menopause, the impact on a woman’s quality of life (e.g., vasomotor symptoms, mood, and memory changes) and longevity (e.g., osteoporosis and cardiovascular disease) may be profound.[5] Among several classes of EDCs, perfluorochemicals have been associated with early menopause.[68]

We sought to determine whether exposure to persistent EDCs such as PCBs and DDT was associated with earlier menopause. To do so, we examined data collected by the National Health and Nutrition Examination Survey (NHANES).[9] NHANES, administered by the Centers for Disease Control and Prevention (CDC), is a cross-sectional, nationally representative survey of the health and nutritional status of the US population. NHANES uses a complex, multistage probability design to obtain a representative sample of the civilian, non-institutionalized population. Specifically, we evaluated the serum or urine levels of 111 individual, potential EDCs from the following categories: dioxins (combustion byproducts), phytoestrogens (plant-derived estrogens), phthalates (plasticizers), polychlorinated biphenyls (PCBs, coolants), phenolic derivatives (phenols, industrial pollutants), organophosphate pesticides, surfactants, and polycyclic aromatic hydrocarbons (PAHs, combustion products) (Fig. 1).

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Figure 1. Evaluating groups of endocrine disrupting chemicals and their potential impact on female reproduction.

https://doi.org/10.1371/journal.pone.0116057.g001

Methods

Ethics statement

NHANES is a publicly available data set and all participants in NHANES provide written informed consent, consistent with approval by the National Center for Health Statistics Institutional Review Board.

Study cohort

We examined data from all women in the 1999–2000, 2001–2002, 2003–2004, 2005–2006, and 2007–2008 survey periods (N = 31,575). At the time of this analysis, the entirety of the 2009–2010, 2011–2012, and 2013–2014 datasets were not publically available. We included women in the primary analysis if they were over 30 years of age (N = 13,705), menopausal (N = 2,159), and had been selected for EDC testing (N = 1,442). During each two-year survey period, 5000 individuals were chosen for participation in the study, and EDCs were measured in the serum or urine of random subsets. Our primary outcome of interest was age at last menstrual period in menopausal women. Exclusion criteria included: current pregnancy, breastfeeding, use of hormonal contraception or hormonal therapy, or history of hysterectomy or bilateral oophorectomy. Given the NHANES sampling techniques and weighting for study design characteristics,[9] our sample of 1,442 menopausal women who had a laboratory assessment of EDC levels represents a population of approximately 8,872,966 menopausal women across the US (Table 1).

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Table 1. Demographic and reproductive characteristics and general health of eligible, menopausal NHANES participants and the subset of menopausal participants with EDCs measured.

https://doi.org/10.1371/journal.pone.0116057.t001

Chemicals assayed

We examined the data reported for individual chemicals within eight categories of EDCs: dioxins/furans, PCBs, phthalates, phytoestrogens, phenols, pesticides, PAHs, and surfactants (Fig. 1). Chemical analytes were measured by the National Center for Environmental Health Laboratories (CDC, Atlanta, GA) by gas chromatography-mass spectrometry or by high-performance liquid chromatography-mass spectrometry. Of the 176 chemicals analyzed, lipid- and creatinine-adjusted levels for 111 individual chemicals were included in this study (S1 Table). Sixty-seven EDCs were excluded because all results were below the limit of detection or there were no menopausal women with observed values in the top decile of exposure; PCB-28 and op DDT were similarly excluded from analysis given the rare detection of these chemicals in humans (S2 Table).

Given the limitations inherent in the use of cross-sectional data, wherein exposure measurements occur at variable times after the outcome of interest, our primary analysis focused on EDCs with half-lives of more than one year; although phthalates have biological half-life less than 24 hours in humans, we included them in our analysis because of these chemicals’ well documented effects on reproduction.[1012] Determining the biological half-life of EDCs is challenging as each chemical is affected by unique mechanisms of decay, metabolism, individual body composition, and genetic predisposition. Therefore, we used only available literature from publications of the Agency for Toxic Substances & Disease Registry (CDC). We grouped chemicals as having biological half-lives of more than one year (n = 28), less than one year (n = 34), or not available (n = 49) (Tables 2 and S1). We included phthalates in our analyses due to concern regarding high and often continued levels of human exposure [13] as well as their known detrimental impact on reproductive outcomes, despite suspected short half-lives [2,14,15]. Due to the limitation of half-life, metabolism, and tissue specific data in humans, results for the chemicals with short or unknown half-lives are also included in supplemental information provided (S1 and S2 Tables).

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Table 2. Distribution of pervasive EDCs associated with earlier menopause among women sampled by NHANES, 1999–2008, based on threshold analysis.

https://doi.org/10.1371/journal.pone.0116057.t002

Primary analysis

The primary outcome of interest was age at last menstrual period among menopausal women. Women who had not reported a period in the last 12 months were asked, “About how old were you when you had your last menstrual period?” Previous work has demonstrated that recall of age at menarche and menstrual cycle regularity is accurate in surveys.[16]

Threshold analysis. To determine whether the highest observed levels of EDCs were associated with age of menopause, exposure was defined as values in the top decile of the distribution among all women assessed for that EDC, irrespective of menopausal status or other inclusion criteria. We report beta coefficients, which represent the average change in age (in years) of menopause for each chemical between menopausal women with EDC level ≥ 90th percentile and those with EDC levels <90th percentile.

Dose-response analyses. The distribution of levels of individual EDCs was highly variable; for example, levels of PCB-99 ranged from 0.65 ng/g to 304 ng/g lipid weight (Table 2). Thus, we took two approaches to assessing dose-response relationships between levels of EDC and outcome.[17] The first method examined the association of age of menopause with log-transformed concentrations of EDC. The second examined the association of age of menopause with EDC level categorized in deciles. For these analyses, the beta represents the change in mean age of menopause attributed to a one-unit change in the log concentrations of EDC or a one-decile increase in EDC, respectively (Table 3).

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Table 3. Association between exposure to pervasive EDCs and earlier age of menopause in threshold and dose-response analyses.

https://doi.org/10.1371/journal.pone.0116057.t003

Secondary analysis

Because EDC levels in many women were measured years after the onset of menopause, we performed secondary analyses for the 15 chemicals with long half-lives or known reproductive toxicants identified in the primary analyses as being associated with an earlier age at menopause. This allowed us to shorten the length of time between exposure and outcome. We included all women age 45–55 years and used the same exclusion criteria listed above. The outcome of interest was menopausal status (dichotomized into menopausal or not menopausal). We computed the odds ratio of being menopausal attributable to each unit increase in log transformed EDC levels (Table 4).

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Table 4. Secondary analysis for women 45–55 years of age with odds ratio of being menopausal as exposed to increasing logarithmic transformed EDC.

https://doi.org/10.1371/journal.pone.0116057.t004

Statistical analyses

All primary and secondary analyses were adjusted for age at the time of interview, race/ethnicity, body mass index, and current smoking status. Given the potential for a relationship between socioeconomic status and EDC exposure, we also evaluated poverty as a potential confounder. However, because poverty was not associated with a 10% change in any of the estimates of effect of individual EDCs (data not shown), socioeconomic status was not included in adjusted analyses. Given the use of multiple cycles of NHANES data, we computed combined weights in accordance with the NHANES Analytic Reporting Guidelines.[9] SAS (version 9.3, SAS Institute, Cary, NC) was used for statistical analyses.

Results

The demographic characteristics of the women included in this study are presented in Table 1. The three subgroups of women (those who were menopausal; those included in the primary EDC analysis; and those included in the secondary analysis) were comparable in terms of mean age at menopause, socio-demographic and reproductive characteristics, and general health and behaviors to all women at least 30 years of age enrolled in NHANES from 1999–2008.

We analyzed the data reported for 111 EDCs among menopausal women, and focused this study on 35 EDCs with long half-lives and phthalates, known reproductive toxicants. Table 2 shows the 15 chemicals for which we found significant associations in any of the threshold or dose-response analyses. Overall, women with the highest EDC levels had ages of menopause 1.9 to 3.8 years earlier than those without. Nine of the 10 EDCs associated with a significantly earlier age at menopause in the threshold analysis were also statistically significant in one of the two dose-response analyses (Table 3). This result suggests that increasing serum- or urine-levels of EDCs, not just high absolute levels, are associated with loss of ovarian function.

In the secondary analysis of all women aged 45 to 55 years (Table 4), 11 out of 15 EDCs identified in our primary analyses were associated with significantly higher odds of being menopausal. Two had ORs indicative of increased likelihood of menopause but were not statistically significant, and two were not associated with likelihood of menopause.

Discussion

Our study demonstrates a clinically significant association between levels of persistent EDCs and age at menopause in a large cross-sectional representative sample of US women. Nine PCBs, three pesticides, a furan, and two phthalates were significantly associated with earlier ages of menopause in at least one type of analysis. Fourteen of the 15 EDCs examined showed evidence of a dose-response relationship in at least one analysis, suggesting that increasing levels of environmental exposures of these chemicals could affect ovarian function. The observed magnitudes of effect of these 15 chemicals, ranging from 1.9 to 3.8 years earlier menopause, are larger than those previously documented for primary exposure to tobacco smoke, which has been shown in prior NHANES studies to associate with 0.8 to 1.4 years earlier menopause. [18,19] The odds of being menopausal among the restricted cohort of women (ages 45–55 years) ranged from 1.3 to greater than six fold for each one unit increase in the log EDC level. Although these chemicals may not be currently in production, there is likely still an ongoing exposure to many of these pervasive chemicals from our environment with an associated threat to human reproductive health.

EDCs may adversely affect ovarian function in several ways. One possibility is that EDCs slowly damage the follicular pool, leading to earlier menopause, similar to previously published studies on primary ovarian insufficiency.[20] An earlier result of such a process may be reduced fertility. For example, a recent prospective cohort study of 501 couples reported that exposures to several of the same PCBs that we identified (PCBs 118, 138, and 153) were associated with an approximately 20% adjusted reduction in fecundability.[14] Alternatively, EDCs may cause failure to establish a maximal oocyte pool in the case of exposure in utero, or they may increase follicular recruitment, leading to premature depletion of the follicular pools as is seen in some primary ovarian insufficiency models.[20,21] In support of this idea, adolescents who resided in an area of substantial industrial development and PCB exposure underwent earlier menarche and thelarche than their unexposed peers.[22] Additionally, mice exposed to diesel exhaust have a significant reduction in the proportion of primordial follicles, resulting in diminished ovarian reserve and an increased risk of premature menopause.[23] Further work with animal models is needed to better understand the mechanisms by which each of these chemicals disrupts endocrine function.

Our study identified 15 chemicals of potential interest, including nine PCBs. As a group, PCBs seem to cause the most concern for untoward reproductive consequences, though the mechanisms of action remain elusive. No EDC is thought to be a pure hormone agonist or antagonist, some PCBs have weak estrogenic activity,[24,25] and heavily chlorinated PCBs are thought to interact with the aryl hydrocarbon receptor.[26] Several studies have shown that exposure to PCBs reduces oocyte maturation, fertilization, and blastocyst development.[2731] Additionally, the adverse reproductive effects of PCBs can be transmitted to subsequent generations in mice.[31] Increasing data suggest that each chemical has different mechanisms of action in varying tissues/organs, which complicates epidemiologic studies on EDC exposure. Finally, timing and duration of exposure is difficult to determine, and the effects of PCBs, many of which were banned from production in the 1970s,[32,33] may be long lasting given their pervasive nature throughout the environment.

The greatest strength of our study is the population of women studied. NHANES is a complex, stratified survey; sample weights, sampling strata, and sampling units were considered in all analyses to adjust for study design and create estimates that are representative of the US population. Furthermore, our analyses adjusted for age at the time of specimen collection, body mass index, race/ethnicity, and current smoking status. An additional strength of our study is our three-pronged analytical approach. Because there are no established safe thresholds for EDCs and little is known about their potential reproductive effects, we first examined the highest levels of EDC exposure. Second, we examined dose-response relationships in two ways: 1) as a continuous log-transformed variable; and 2) as a continuous variable based on decile of EDC level. Third, we performed a secondary analysis on the 15 identified chemicals of interest in a younger cohort of women to confirm and further strengthen our findings.

Our study has several limitations. First, our outcome was self-reported age at last menstrual period. However, although the possibility of differential recall exists, several studies have shown such data to be reliable.[16,32] Furthermore, all analyses adjusted for age at screening. Second, there was considerable delay between when menopause occurred and when EDC levels were measured. We attempted to reduce this limitation in our secondary analysis of women age 45–55 years; the women were in closer proximity to the natural age of menopause in the US (median 51.3)[34]. Furthermore, most of the chemicals that showed a significant association with menopause had long half-lives in humans (on the order of 10 years or more). Third, EDC data were not available for all eligible menopausal women, and NHANES laboratory cohorts were split into approximately three representative sets, each of which was evaluated for only a few classes of EDCs. This approach is cost-efficient but prevented combination of datasets across survey cycles, limiting our ability to evaluate cumulative effects of categories of EDCs and potentially reducing the power to detect other significant associations. Fourth, the NHANES data are cross-sectional; therefore, it is impossible to establish the temporal relationships necessary to establish causality. EDC levels were measured after the occurrence of menopause–no estimates from the relevant etiologic period before menopause are available. However, this study focused on chemicals with long half-lives, and prior studies have documented that a single measure provides considerable information on relative concentrations at distant times.[35] [36] Finally, despite performing multiple analyses, we did not adjust our alpha for multiple comparisons. We made this choice because our objective was to explore any potential association and report hypothesis-generating findings for future exploration of these harmful chemicals. Data regarding the pervasiveness of the chemicals highlighted in this study are limited by the innate difficulties in determining the half-lives of chemicals in different states and climates [37]. An important limitation of studies examining associations between single EDCs and diseases is that humans are exposed to multiple EDCs at any given time; these mixtures likely have a greater effect than any single EDC alone. Given that the cumulative effects and potential for synergism are unknown, we limited our analyses to individual chemicals. Similarly, dose-response relationships have not been established for the majority of the chemicals analyzed; future research should consider that selected chemicals might not exhibit traditional linear dose response curves. Additionally our findings are limited to the analysis available in the NHANES dataset. The associations noted in our analysis may also be influenced by a complex mixture of contaminants that have not yet been identified or measured in the NHANES database.

Our data demonstrate associations between 15 specific EDCs and earlier age at menopause–with menopause occurring as much as 3.8 years earlier in women with the highest EDC levels. Although many of these chemicals have been banned from production in the US because of their association with adverse health outcomes, some chemicals and other related chemicals are still produced globally and are pervasive and persistent. Although menopause timing is only one negative health impact that might be associated with EDC exposure, it is a very important one. Any early decline in ovarian function could increase rates of infertility and lead to earlier development of cardiovascular disease, osteoporosis, and other medical problems among women[38,39]. We need further critical evaluation of this topic in the form of animal models and prospective studies. Additional analyses examining the additive effects of genetic predispositions and environmental effects on reproductive health, as well as the potential for synergism between chemicals, are also important. We support the use of an approach that captures lifestyle, behavior, and macro-level exposures from conception onward to elucidate the impact of EDCs on human reproduction.[14,40] The health of future generations is at risk, and without further research in this area, those born today could be affected in decades to come.

Supporting Information

S1 Table. List of EDCs included in analysis, relative half-lives, and average change in age of menopause in threshold analyses for each chemical.

https://doi.org/10.1371/journal.pone.0116057.s001

(DOCX)

S2 Table. List of EDCs excluded from analysis.

https://doi.org/10.1371/journal.pone.0116057.s002

(DOCX)

Acknowledgments

ARC and JEA had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. The authors thank Deborah J. Frank, PhD for editorial assistance.

Author Contributions

Conceived and designed the experiments: NMG JEA KAR ARC. Performed the experiments: NMG JEA ARC. Analyzed the data: NMG JEA ARC. Contributed reagents/materials/analysis tools: NMG JEA GAM KK KAR ARC. Wrote the paper: NMG JEA GAM KK KAR ARC.

References

  1. 1. Bergman A, Jobling S, Kidd KA, Zoeller RT (2012) State of the science of endocrine disrupting chemicals. World Health Organization & United Nations Environment Programme
  2. 2. Zoeller RT, Brown TR, Doan LL, Gore AC, Skakkebaek NE, et al. (2012) Endocrine-disrupting chemicals and public health protection: a statement of principles from The Endocrine Society. Endocrinology 153: 4097–4110. pmid:22733974
  3. 3. Vom Saal FS, Nagel SC, Coe BL, Angle BM, Taylor JA (2012) The estrogenic endocrine disrupting chemical bisphenol A (BPA) and obesity. Mol Cell Endocrinol 354: 74–84. pmid:22249005
  4. 4. Buttke DE, Sircar K, Martin C (2012) Exposures to endocrine-disrupting chemicals and age of menarche in adolescent girls in NHANES (2003–2008). Environ Health Perspect 120: 1613–1618. pmid:23124194
  5. 5. No ACO (2013) Exposure to toxic environmental agents. Obstet Gynecol 122: 931–935.
  6. 6. Taylor KW, Hoffman K, Thayer KA, Daniels JL (2014) Polyfluoroalkyl chemicals and menopause among women 20–65 years of age (NHANES). Environ Health Perspect 122: 145–150. pmid:24280566
  7. 7. Knox SS, Jackson T, Javins B, Frisbee SJ, Shankar A, et al. (2011) Implications of early menopause in women exposed to perfluorocarbons. J Clin Endocrinol Metab 96: 1747–1753. pmid:21411548
  8. 8. Harada KH, Koizumi A (2009) Environmental and biological monitoring of persistent fluorinated compounds in Japan and their toxicities. Environ Health Prev Med 14: 7–19. pmid:19568863
  9. 9. Curtin LR, Mohadjer LK, Dohrmann SM, Montaquila JM, Kruszan-Moran D, et al. (2012) The National Health and Nutrition Examination Survey: Sample Design, 1999–2006. Vital Health Stat 2: 1–39. pmid:22788053
  10. 10. Wang W, Craig ZR, Basavarajappa MS, Gupta RK, Flaws JA (2012) Di (2-ethylhexyl) phthalate inhibits growth of mouse ovarian antral follicles through an oxidative stress pathway. Toxicol Appl Pharmacol 258: 288–295. pmid:22155089
  11. 11. Hannon PR, Peretz J, Flaws JA (2014) Daily exposure to Di(2-ethylhexyl) phthalate alters estrous cyclicity and accelerates primordial follicle recruitment potentially via dysregulation of the phosphatidylinositol 3-kinase signaling pathway in adult mice. Biol Reprod 90: 136. pmid:24804967
  12. 12. Craig ZR, Hannon PR, Wang W, Ziv-Gal A, Flaws JA (2013) Di-n-butyl phthalate disrupts the expression of genes involved in cell cycle and apoptotic pathways in mouse ovarian antral follicles. Biol Reprod 88: 23. pmid:23242528
  13. 13. Silva MJ, Barr DB, Reidy JA, Malek NA, Hodge CC, et al. (2004) Urinary levels of seven phthalate metabolites in the U.S. population from the National Health and Nutrition Examination Survey (NHANES) 1999–2000. Environ Health Perspect 112: 331–338. pmid:14998749
  14. 14. Buck Louis GM, Sundaram R, Schisterman EF, Sweeney AM, Lynch CD, et al. (2013) Persistent environmental pollutants and couple fecundity: the LIFE study. Environ Health Perspect 121: 231–236. pmid:23151773
  15. 15. Bergman EA (2012) Translating science into action. J Acad Nutr Diet 112: 1709.
  16. 16. Bean JA, Leeper JD, Wallace RB, Sherman BM, Jagger H (1979) Variations in the reporting of menstrual histories. Am J Epidemiol 109: 181–185.
  17. 17. vom Saal FS, Akingbemi BT, Belcher SM, Birnbaum LS, Crain DA, et al. (2007) Chapel Hill bisphenol A expert panel consensus statement: integration of mechanisms, effects in animals and potential to impact human health at current levels of exposure. Reprod Toxicol 24: 131–138. pmid:17768031
  18. 18. Fleming LE, Levis S, LeBlanc WG, Dietz NA, Arheart KL, et al. (2008) Earlier age at menopause, work, and tobacco smoke exposure. Menopause 15: 1103–1108. pmid:18626414
  19. 19. Cooper GS, Sandler DP, Bohlig M (1999) Active and passive smoking and the occurrence of natural menopause. Epidemiology 10: 771–773. pmid:10535795
  20. 20. De Vos M, Devroey P, Fauser BC (2010) Primary ovarian insufficiency. Lancet 376: 911–921.
  21. 21. Tuttle AM, Stampfli M, Foster WG (2009) Cigarette smoke causes follicle loss in mice ovaries at concentrations representative of human exposure. Hum Reprod 24: 1452–1459. pmid:19228760
  22. 22. Denham M, Schell LM, Deane G, Gallo MV, Ravenscroft J, et al. (2005) Relationship of lead, mercury, mirex, dichlorodiphenyldichloroethylene, hexachlorobenzene, and polychlorinated biphenyls to timing of menarche among Akwesasne Mohawk girls. Pediatrics 115: e127–134. pmid:15653789
  23. 23. Ogliari KS, Lichtenfels AJ, de Marchi MR, Ferreira AT, Dolhnikoff M, et al. (2013) Intrauterine exposure to diesel exhaust diminishes adult ovarian reserve. Fertil Steril 99: 1681–1688. pmid:23419929
  24. 24. Layton AC, Sanseverino J, Gregory BW, Easter JP, Sayler GS, et al. (2002) In vitro estrogen receptor binding of PCBs: measured activity and detection of hydroxylated metabolites in a recombinant yeast assay. Toxicol Appl Pharmacol 180: 157–163. pmid:12009855
  25. 25. Shekhar PV, Werdell J, Basrur VS (1997) Environmental estrogen stimulation of growth and estrogen receptor function in preneoplastic and cancerous human breast cell lines. J Natl Cancer Inst 89: 1774–1782. pmid:9392618
  26. 26. Van den Berg M, Birnbaum L, Bosveld AT, Brunstrom B, Cook P, et al. (1998) Toxic equivalency factors (TEFs) for PCBs, PCDDs, PCDFs for humans and wildlife. Environ Health Perspect 106: 775–792. pmid:9831538
  27. 27. Kholkute SD, Rodriguez J, Dukelow WR (1994) Effects of polychlorinated biphenyls (PCBs) on in vitro fertilization in the mouse. Reprod Toxicol 8: 69–73. pmid:8186627
  28. 28. Krogenaes AK, Nafstad I, Skare JU, Farstad W, Hafne AL (1998) In vitro reproductive toxicity of polychlorinated biphenyl congeners 153 and 126. Reprod Toxicol 12: 575–580. pmid:9875692
  29. 29. Kuchenhoff A, Eckard R, Buff K, Fischer B (1999) Stage-specific effects of defined mixtures of polychlorinated biphenyls on in vitro development of rabbit preimplantation embryos. Mol Reprod Dev 54: 126–134. pmid:10471472
  30. 30. Lindenau A, Fischer B (1996) Embryotoxicity of polychlorinated biphenyls (PCBS) for preimplantation embryos. Reprod Toxicol 10: 227–230. pmid:8738560
  31. 31. Pocar P, Fiandanese N, Secchi C, Berrini A, Fischer B, et al. (2012) Effects of polychlorinated biphenyls in CD-1 mice: reproductive toxicity and intergenerational transmission. Toxicol Sci 126: 213–226. pmid:22157103
  32. 32. Quinn CL, Wania F, Czub G, Breivik K (2011) Investigating intergenerational differences in human PCB exposure due to variable emissions and reproductive behaviors. Environ Health Perspect 119: 641–646. pmid:21156396
  33. 33. Walker NJ, Crockett PW, Nyska A, Brix AE, Jokinen MP, et al. (2005) Dose-additive carcinogenicity of a defined mixture of “dioxin-like compounds”. Environ Health Perspect 113: 43–48. pmid:15626646
  34. 34. Kato I, Toniolo P, Akhmedkhanov A, Koenig KL, Shore R, et al. (1998) Prospective study of factors influencing the onset of natural menopause. J Clin Epidemiol 51: 1271–1276. pmid:10086819
  35. 35. Vo TT, Gladen BC, Cooper GS, Baird DD, Daniels JL, et al. (2008) Dichlorodiphenyldichloroethane and polychlorinated biphenyls: intraindividual changes, correlations, and predictors in healthy women from the southeastern United States. Cancer Epidemiol Biomarkers Prev 17: 2729–2736. pmid:18843016
  36. 36. Sweeney AM, Symanski E, Burau KD, Kim YJ, Humphrey HE, et al. (2001) Changes in serum PBB and PCB levels over time among women of varying ages at exposure. Environ Res 86: 128–139. pmid:11437459
  37. 37. Sinkkonen S, Paasivirta J (2000) Degradation half-life times of PCDDs, PCDFs and PCBs for environmental fate modeling. Chemosphere 40: 943–949. pmid:10739030
  38. 38. Atsma F, Bartelink ML, Grobbee DE, van der Schouw YT (2006) Postmenopausal status and early menopause as independent risk factors for cardiovascular disease: a meta-analysis. Menopause 13: 265–279. pmid:16645540
  39. 39. Melton LJ 3rd, Wahner HW, Richelson LS, O’Fallon WM, Riggs BL (1986) Osteoporosis and the risk of hip fracture. Am J Epidemiol 124: 254–261.
  40. 40. Wild CP (2005) Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 14: 1847–1850. pmid:16103423